The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume VII of the Transactions on Rough Sets (TRS) series is a sequel to volume VI of the TRS. Both volumes commemorate the life and work of Zdzislaw Pawlak (1926-2006). His legacy is rich and varied. Prof. Pawlak's research contributions have had far-reaching implications inasmuch as his works have been fundamental in establishing new perspectives for scientific research in a wide spectrum of fields. This volume of the TRS series presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak. In particular, it introduces a number of advances in the foundations and applications of artificial intelligence, engineering, logic, mathematics, and science. These advances have significant implications in a number of research areas such as the foundations of rough sets, approximate reasoning, bioinformatics, computational intelligence, cognitive science, data mining, information systems, intelligent systems, machine intelligence, and security.
Author(s): Andrzej Czyzewski (auth.), James F. Peters, Andrzej Skowron, Victor W. Marek, Ewa Orłowska, Roman Słowiński, Wojciech Ziarko (eds.)
Series: Lecture Notes in Computer Science 4400
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2007
Language: English
Pages: 382
Tags: Mathematical Logic and Formal Languages; Computation by Abstract Devices; Artificial Intelligence (incl. Robotics); Database Management; Image Processing and Computer Vision
Front Matter....Pages -
Speech Coding Employing Intelligent Signal Processing Techniques....Pages 1-15
Relational Attribute Systems II: Reasoning with Relations in Information Structures....Pages 16-35
Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory....Pages 36-52
Deriving Belief Networks and Belief Rules from Data: A Progress Report....Pages 53-69
Selection of Important Attributes for Medical Diagnosis Systems....Pages 70-84
Using Approximate Reduct and LVQ in Case Generation for CBR Classifiers....Pages 85-102
Mining Rough Association from Text Documents for Web Information Gathering....Pages 103-119
Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering....Pages 120-139
Characterizing Pawlak’s Approximation Operators....Pages 140-150
Application of Rough Sets in Pattern Recognition....Pages 151-169
Lower and Upper Approximations in Data Tables Containing Possibilistic Information....Pages 170-189
Hybrid Rough Sets-Population Based System....Pages 190-205
Hybrid Rough Sets Intelligent System Architecture for Survival Analysis....Pages 206-224
Rough Sets in Bioinformatics....Pages 225-243
Rough Feature Selection for Intelligent Classifiers....Pages 244-255
Granulation as a Privacy Protection Mechanism....Pages 256-273
A Note on Definability and Approximations....Pages 274-282
Feature Selection in Audiovisual Emotion Recognition Based on Rough Set Theory....Pages 283-294
Novel Classification and Segmentation Techniques with Application to Remotely Sensed Images....Pages 295-380
Back Matter....Pages -
